Vibe coding is a way of building software where, instead of writing code by hand, you describe your intent in natural language and a large language model (LLM) generates working code for you. The term gained traction in 2025 and became widely known thanks in part to Andrej Karpathy, who used it to describe “surrendering” to AI tools while rapidly prototyping and iterating on ideas. In practice, you state what the application should do, the AI writes a first version, you run it, test it, and then ask for fixes or new features in conversation. This approach differs from classic AI-assisted programming in that it focuses more on the goal and outcome than on hand-written code and its structure, as reflected in practical descriptions across expert texts and the media (Collins Dictionary; Cloudflare Learning Center; Ars Technica; Merriam-Webster).
Why people are talking about it right now
Three parallel trends pushed the topic into the mainstream: more powerful LLMs capable of generating entire projects, new editors and environments with “agents,” and a cultural shift toward more accessible programming. Dictionaries and tech magazines have noted that this signals a paradigm shift—programming is becoming more of a conversation and less about syntax. In 2025, “vibe coding” was even named “Word of the Year,” which illustrates just how much the term entered public discussion (Collins Dictionary). At the same time, more systematic explanations of the concept and its boundaries have emerged from tech companies and editorial teams (Cloudflare; Ars Technica; Merriam-Webster).
How vibe coding works in practice
A typical workflow looks like this: you describe what you want to build and provide context (goal, audience, platform). The AI generates a project scaffold, which you then run. Instead of manually rewriting code, you talk to the tool: “add login,” “fix this error,” “optimize image loading.” Everything happens in a loop of try → feedback → improvement. The key is to run frequently, keep test data, logs, and outputs handy, and continuously refine requirements in natural language. This “conversational” workflow is also described in official educational articles and analyses (Cloudflare Learning Center; Ars Technica).
How it differs from no-code and from traditional programming
No-code tools let you assemble apps from prebuilt blocks, with logic limited to what the platform offers. Vibe coding generates custom code, so it can go beyond the limits of visual builders—often at the cost of greater variability in output quality. Compared to traditional programming, it shifts the emphasis from syntax and API details to precise intent, testing, and validation. Several authorities caution that with vibe coding it’s essential to understand architecture and be able to run tests—otherwise you risk creating a “black box” you trust without understanding (Ars Technica; Merriam-Webster).
Benefits and advantages
The biggest advantage is prototyping speed and accessibility for people outside IT. You can turn an idea into a live prototype within hours and validate whether it solves a real problem. Teams can also save time on routine tasks—generating boilerplate code, writing tests, or creating migrations is something AI can handle surprisingly well. Finally, vibe coding supports creative flow: when syntax doesn’t slow you down, it’s easier to try more variants and iterate on UI/UX and logic. This shift toward “conversational development” is also described by tech sources that cover the topic systematically (Cloudflare; Ars Technica).
Risks and limitations
This approach comes with responsibility, especially around security, maintainability, and quality. The code may contain hidden bugs, fail to meet security best practices, or violate licensing requirements. Because some solutions are produced without deep understanding, they can be harder to debug and technical debt can be harder to pay down. Dictionaries and expert articles emphasize that vibe coding is not a synonym for “sloppy” code—it’s a method that, in professional use, requires tests, code review, static analysis, and security scans (Merriam-Webster; Ars Technica).
When it makes sense—and when it doesn’t
It’s great for a fast MVP, internal automation, data scripts, one-off “software-for-one” tools, or hackathons. It’s less suitable as the only approach for projects with high security, compliance, and long-term maintenance requirements, where you need thorough architectural decisions and a consistent code style. In practice, it’s therefore often combined: first a quick prototype “on vibes,” then stabilization, refactoring, and hardening using traditional techniques (Ars Technica; Cloudflare).
Tools and platforms associated with vibe coding
On the front line are editors and environments with AI agents and deep integration into code execution: Cursor, Replit/Agents, testing and linting tools, and possibly CI/CD that can run generated tests. Also important are add-ons for generating datasets and mocks so you can quickly validate application behavior. Explanatory materials and courses for these platforms focus on security best practices, prompting, and deployment workflows (Cloudflare).
Skills a “vibe coder” should develop
It’s worth practicing precise intent formulation, breaking problems into small steps, and the ability to write minimal “contracts”—either as textual acceptance criteria or as tests. It’s also important to know how to read logs, interpret errors, and do quick diagnosis. In professional environments, vibe coding is combined with code review and automated checks to prevent regressions and security issues (Ars Technica; Merriam-Webster).
Quick mini-guide: your first project step by step
Start with a clear goal: “A website where I enter ingredients and get a recipe suggestion.” Specify the platform, constraints, and outputs: “Frontend in Next.js, serverless API, a local demo in 30 minutes.” Let the AI prepare the project scaffold, then immediately run it and test specific scenarios. After each step, ask for adjustments—error logging, basic tests, edge-case handling, and simple security hardening. Finally, request a deployment guide and a production checklist so your next steps are clear. This is how “vibing” becomes a controlled process with measurable results (Cloudflare; Ars Technica).
Use cases and the limits of the term
Media outlets describe how even non-programmers can “vibe out” small personal tools—from content generators to mini apps that handle everyday tasks. At the same time, they emphasize that if you understand what the AI produced, you run tests, and you take responsibility for the code, then it’s no longer “pure” vibe coding but standard AI-assisted programming. In other words, vibe coding is more an approach to prototyping than a replacement for engineering practice (Ars Technica; Merriam-Webster).
Bonus – video demos about vibe coding
Short demo: “VIBE CODING 3 min demo” – a quick look at the workflow in an agent-powered editor.
“Karpathy Vibe Coding Full Tutorial with Cursor (Zero Coding)” – a longer, practical walkthrough from idea to working prototype.
“Cursor Vibe Coding Tutorial – For COMPLETE Beginners” – for beginners, step by step.
Conclusion
Vibe coding isn’t magic or a shortcut to a flawless app. It’s a useful way to speed up the path from idea to prototype and open the door to programming for a broader audience. If you approach it professionally—with tests, security best practices, and clear quality criteria—it can be an excellent complement to traditional development. But if you need a stable solution with long-term maintenance, vibe coding should be only the first phase, followed by responsible engineering work and verification.
Sources
- Collins Dictionary – “The Collins Word of the Year 2025 is…”: https://www.collinsdictionary.com/woty
- Cloudflare Learning Center – “What is vibe coding?”: https://www.cloudflare.com/learning/ai/ai-vibe-coding/
- Ars Technica – “Will the future of software development run on vibes?”: https://arstechnica.com/ai/2025/03/is-vibe-coding-with-ai-gnarly-or-reckless-maybe-some-of-both/
- Merriam-Webster (Slang & Trending) – “vibe coding”: https://www.merriam-webster.com/slang/vibe-coding
Jana
I like turning curiosity into words, and writing articles is my way of capturing ideas before they slip away — and sharing them with anyone who feels like reading.
